Requisition ID : 203474
Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.
As a Manager, Risk Analytics, you will play a pivotal role in accelerating benefits for customers and the bank. Leveraging enterprise-level data management tools and advanced analytics, you’ll collaborate closely with Global Risk teams, business lines, Digital Banking, and IT.
Your responsibilities include applying advanced analytics techniques, exploring ideas to enhance retail lending portfolios within risk appetite thresholds, and identifying opportunities for innovative credit offers based on risk-reward frameworks and the GRM’s digital strategy.
This role demands rigorous logical thinking, curiosity, flexibility, and strong teamwork abilities. You’ll operate at the intersection of math / stats, computer science, and domain knowledge in Risk Management, Finance, or Marketing.
Additionally, you will work towards various judicious initiatives, participate in the risk-reward strategy development, driving innovation and digital transformation across the Bank and Global Risk Management.
Job Responsibilities :
Research, develop, and implement innovative credit solutions using advanced and predictive data analytics, big data, and AI / machine learning techniques.
Focus on growth and strategy optimization opportunities in Caribbean and Central American markets.
Lead strategy design thinking with business partners, subject matter experts, and external consultants. Enhance risk-reward predictions, customer segmentation, credit limits, risk-based pricing, and fraud detection across the full credit lifecycle (e.
g., credit origination, account management, collections).
Utilize Agile framework to prioritize and deploy data science projects, aligning with project scope and timelines.
Collaborate with Toronto and local business partners to implement new credit solutions in selected markets. Monitor key performance indicators for scalable deployment in an agile and rapid environment.
Partner with other analytics areas to assist use case development and deployment.
Define data engineering, visualization, and machine learning requirements in collaboration with the Business Intelligence team and key stakeholders.
Actively contribute to developing and maintaining team standards, tools, and best practices.
Job Requirements :
University degree in a relevant STEM discipline (Science, Technology, Engineering, and Mathematics).
Ability to work with large volumes of structured and unstructured non-traditional data.
Proficiency in big data tools and programming languages (e.g., SAS, SQL, Spark).
Experience with machine learning and other AI techniques for strategy design.
Familiarity with collaboration tools (e.g., Jira, Confluence) to tie stakeholders.
Strong collaboration skills to translate technical knowledge into business value.
Effective communication skills for project documentation and presentations.
Excellent social skills to navigate team dynamics.
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